对COVID-19相关社交距离法规的知识和感知:对生活在孟加拉国和美国的孟加拉国人的横断面研究

Sonica Sayam
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引用次数: 0

摘要

本研究比较了生活在孟加拉国(BD)和美国(US)的孟加拉国人对社会距离法规(PSDR)的看法。方法:采用横断面调查法收集资料(n = 2338;英国=1879,美国=459)在2020年6月和7月期间使用社交媒体平台。根据回答,“感知分数”的值在0-9之间。采用SAS 9.4进行双变量分析和有序逻辑回归,探讨PSDR与社会人口统计学特征(sdc)之间的关系。结果:双变量分析显示,PSDR与美国参与者的最高教育水平(p=0.002)和BD (p<0.0001)显著相关;家庭收入(p=0.001)和居住面积(p=0.002)在BD参与者中具有显著的影响。有序逻辑回归显示教育对PSDR评分有显著影响,但家庭收入对PSDR评分没有影响。结论:在同一种族的人群中,sdc在预测COVID-19相关PSDR评分方面的作用因其目前的主要居住国而异
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Knowledge and Perception of COVID-19 Related Social Distancing Regulations: A Cross-Sectional Study of Bangladeshis Living in Bangladesh and the United States
This study compared the Perception of Social Distancing Regulations (PSDR) among Bangladeshis living in Bangladesh (BD) and the United States (US). Methods: Data were collected through a cross-sectional survey (n = 2338; BD=1879, US=459) using social media platforms during June and July 2020. Based on the responses, ‘Perception Scores’ with values ranging from 0-9 were assigned. Using SAS 9.4, bivariate analyses and ordinal logistic regression were conducted to investigate the relationship between PSDR and Sociodemographic Characteristics (SDCs). Results: Bivariate analyses showed PSDR is significantly related with highest level of education among participants from the U.S. (p=0.002) and BD (p<0.0001); household income (p=0.001) and area of residence (p=0.002) among the participants of BD. Ordinal logistic regression revealed significant effect of education but no effect of household income in predicting higher PSDR score. Conclusion: In a population of the same ethnic origin, the role of SDCs varies in predicting the COVID-19 related PSDR score based on their current primary country of residence
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